feat: removing dependency from core analyzer lib! #2
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WalkthroughThe update overhauls the Changes
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Actionable comments posted: 18
Outside diff range and nitpick comments (26)
tests/unit/test_assess_remainder_returned.py (3)
1-1: Consider adding a docstring for the test function.Adding a docstring to the test function can help explain its purpose and the scenarios it covers.
""" Test the assess_remainder function for returned users. """
5-9: Consider adding more diverse test data.The current test data only includes a few users and periods. Adding more diverse data can help ensure the robustness of the
assess_remainderfunction.all_active = { "0": set(["user0", "user1", "user2", "user3", "user4"]), "1": set(["user0", "user1", "user2", "user3", "user4"]), "2": set(["user0", "user1", "user2", "user3", "user4", "user5"]), "3": set(["user6", "user7"]), }
44-44: Ensure the assertion covers all edge cases.The current assertion only checks for a specific case. Consider adding more assertions to cover different scenarios.
assert all_returned["2"] == set(["user5"]) assert all_returned["0"] == set([]) assert all_returned["1"] == set([])tc_analyzer_lib/algorithms/assessment/assess_active.py (1)
1-1: Consider adding type hints for numpy imports.Adding type hints for numpy imports can improve code readability and maintainability.
from numpy import intersect1d, ndarray import numpy as nptests/unit/test_assess_consistent.py (2)
4-7: Correct spelling errors in function name and docstring.The function name and docstring contain spelling errors. "continuos" should be "continuous".
- def test_assess_consistent_continuos(): + def test_assess_consistent_continuous(): """ - test the assess_consistent module + Test the assess_consistent module """
32-35: Correct spelling errors in function name and docstring.The function name and docstring contain spelling errors. "continuos" should be "continuous".
- def test_assess_consistent_different_periods(): """ - test the assess_consistent module with not continuos periods + Test the assess_consistent module with non-continuous periods """tc_analyzer_lib/algorithms/assessment/assess_dropped.py (1)
14-43: Correct spelling errors in docstring.The docstring contains spelling errors. "occured" should be "occurred".
- containing a list of all account names that are active for first + containing a list of all account names that are active for the first - periods to have been inactive + periods of inactivitytc_analyzer_lib/algorithms/assessment/assess_still_active.py (1)
14-43: Correct spelling errors in docstring.The docstring contains spelling errors. "occured" should be "occurred".
- containing a list of all account names that are active for first + containing a list of all account names that are active for the first - periods to have been inactive + periods of inactivitytests/integration/utils/mock_graph.py (1)
Line range hint
14-14:
Remove duplicate call toprepare_activity_params.The call to
prepare_activity_paramsis duplicated and can be removed.- act_param = prepare_activity_params()tests/unit/test_assess_vital.py (1)
4-7: Fix the docstring typos.The docstring contains typographical errors.
- test the assess_vital module in contnuos periods + test the assess_vital module in continuous periodstests/integration/test_partially_consistently_active.py (1)
8-8: Fix typographical error in the docstring.The docstring contains a typographical error. It should be "up to the first day of week 3".
- the user is just active up the the first day of week 3 + the user is just active up to the first day of week 3tests/integration/test_consistently_active.py (1)
8-8: Fix typographical error in the docstring.The docstring contains a typographical error. It should be "consistently active members category".
- test conssitently_active members category + test consistently active members categorytests/integration/test_newly_active_continuous_period.py (1)
8-8: Fix typographical error in the docstring.The docstring contains a typographical error. It should be "test the all_new_active members category in a continuous period".
- test the all_new_active members category in a connected period + test the all_new_active members category in a continuous periodtests/integration/test_all_active_fourteen_period.py (1)
7-13: Fix typographical errors in the docstring.There are typographical errors in the docstring. Consider updating it for better readability.
- test the all active category for past 14 periods + Test the all-active category for the past 14 periods. - The interaction matrix is the represantative of window_d days + The interaction matrix is representative of WINDOW_D days, - so we should have the users as active for the interaction matrix - and not the window_d period here + so we should have the users as active for the interaction matrix, + and not the WINDOW_D period here.tests/integration/test_newly_active_discontinued_period.py (1)
69-71: Fix typographical error in the comment.There is a typographical error in the comment. Consider updating it for better readability.
- # `user_1` intracting with `user_2` + # `user_1` interacting with `user_2`tests/integration/test_mention_active_members_from_int_matrix.py (1)
7-11: Fix typographical errors in the docstring.There are typographical errors in the docstring. Consider updating it for better readability.
- test whether the people are being mentioned are active or not + Test whether the people being mentioned are active or not. - the shouldn't considered as active as we're not counting them + They shouldn't be considered as active as we're not counting them. - the interaction matrix is the starting point + The interaction matrix is the starting point.tests/integration/test_disengaged_were_consistently_active.py (1)
68-70: Fix typographical error in the comment.There is a typographical error in the comment. Consider updating it for better readability.
- # `user_1` intracting with `user_2` + # `user_1` interacting with `user_2`tests/integration/test_active_members.py (2)
12-12: Remove unnecessary conversion to numpy array.The conversion of
acc_namesto a numpy array is unnecessary since it is initialized as an empty list and remains unchanged.- acc_names = np.array(acc_names)
115-115: Remove unnecessary conversion to numpy array.The conversion of
acc_namesto a numpy array is unnecessary since it is initialized as a list and remains unchanged.- acc_names = np.array(acc_names)tc_analyzer_lib/algorithms/assessment/assess_remainder.py (1)
112-112: Initialize empty set directly.Instead of using
set(""), initialize an empty set directly for clarity.- all_paused[str(w_i)] = set("") + all_paused[str(w_i)] = set()tests/integration/test_lone_actions_all_active.py (3)
33-33: Remove unnecessary conversion to numpy array.The conversion of
acc_namesto a numpy array is unnecessary since it is initialized as a list and remains unchanged.- acc_names = np.array(acc_names)
120-120: Remove unnecessary conversion to numpy array.The conversion of
acc_namesto a numpy array is unnecessary since it is initialized as a list and remains unchanged.- acc_names = np.array(acc_names)
214-214: Remove unnecessary conversion to numpy array.The conversion of
acc_namesto a numpy array is unnecessary since it is initialized as a list and remains unchanged.- acc_names = np.array(acc_names)tests/integration/test_thr_actions_all_active.py (3)
27-119: Test logic looks good, but add comments for clarity.The method correctly sets up the test scenario and asserts the expected outcomes. However, it lacks comments explaining the purpose of each step.
# Example of adding comments: # Set up account names acc_names = [] # Number of accounts acc_count = 5 for i in range(5): acc_names.append(f"user{i}") # Convert account names to numpy array acc_names = np.array(acc_names) # Initialize interaction matrix with zeros int_mat = { DiscordActivity.Reply: np.zeros((acc_count, acc_count)), DiscordActivity.Mention: np.zeros((acc_count, acc_count)), DiscordActivity.Reaction: np.zeros((acc_count, acc_count)), DiscordActivity.Lone_msg: np.zeros((acc_count, acc_count)), DiscordActivity.Thread_msg: np.zeros((acc_count, acc_count)), } # Set interaction for thread message int_mat[DiscordActivity.Thread_msg][1, 1] = 2 # Initialize activity dictionary activity_dict = { "all_joined": {"0": set()}, "all_joined_day": {"0": set()}, # ... (other keys) } # Window index w_i = 0 # List of activities activities = [ DiscordActivity.Reaction, DiscordActivity.Mention, DiscordActivity.Reply, DiscordActivity.Lone_msg, DiscordActivity.Thread_msg, ] # Initialize engagement assessment engagement = EngagementAssessment( activities=activities, activities_ignore_0_axis=[ DiscordActivity.Mention, DiscordActivity.Reaction, DiscordActivity.Reply, ], activities_ignore_1_axis=[], ) # Compute engagement (_, *computed_activities) = engagement.compute( int_mat=int_mat, w_i=w_i, acc_names=acc_names, act_param=self.action_params, WINDOW_D=self.window_days, **activity_dict, ) # Convert computed activities to dictionary computed_activities = dict(zip(activity_dict.keys(), computed_activities)) # Assert expected outcomes assert computed_activities["all_joined"] == {"0": set()} assert computed_activities["all_consistent"] == {"0": set()} # ... (other assertions)
121-219: Test logic looks good, but add comments for clarity.The method correctly sets up the test scenario and asserts the expected outcomes. However, it lacks comments explaining the purpose of each step.
# Example of adding comments: # Set up account names acc_names = [] # Number of accounts acc_count = 5 for i in range(5): acc_names.append(f"user{i}") # Convert account names to numpy array acc_names = np.array(acc_names) # Initialize interaction matrix with zeros int_mat = { DiscordActivity.Reply: np.zeros((acc_count, acc_count)), DiscordActivity.Mention: np.zeros((acc_count, acc_count)), DiscordActivity.Reaction: np.zeros((acc_count, acc_count)), DiscordActivity.Lone_msg: np.zeros((acc_count, acc_count)), DiscordActivity.Thread_msg: np.zeros((acc_count, acc_count)), } # Set interactions for thread message int_mat[DiscordActivity.Thread_msg][1, 1] = 2 int_mat[DiscordActivity.Thread_msg][2, 2] = 3 int_mat[DiscordActivity.Thread_msg][3, 3] = 1 # Initialize activity dictionary activity_dict = { "all_joined": {"0": set()}, "all_joined_day": {"0": set()}, # ... (other keys) } # Window index w_i = 0 # List of activities activities = [ DiscordActivity.Reaction, DiscordActivity.Mention, DiscordActivity.Reply, DiscordActivity.Lone_msg, DiscordActivity.Thread_msg, ] # Initialize engagement assessment engagement = EngagementAssessment( activities=activities, activities_ignore_0_axis=[ DiscordActivity.Mention, DiscordActivity.Reaction, DiscordActivity.Reply, ], activities_ignore_1_axis=[], ) # Compute engagement (_, *computed_activities) = engagement.compute( int_mat=int_mat, w_i=w_i, acc_names=acc_names, act_param=self.action_params, WINDOW_D=self.window_days, **activity_dict, ) # Convert computed activities to dictionary computed_activities = dict(zip(activity_dict.keys(), computed_activities)) # Assert expected outcomes assert computed_activities["all_joined"] == {"0": set()} assert computed_activities["all_consistent"] == {"0": set()} # ... (other assertions)
221-313: Test logic looks good, but add comments for clarity.The method correctly sets up the test scenario and asserts the expected outcomes. However, it lacks comments explaining the purpose of each step.
# Example of adding comments: # Set up account names acc_names = [] # Number of accounts acc_count = 5 for i in range(5): acc_names.append(f"user{i}") # Convert account names to numpy array acc_names = np.array(acc_names) # Initialize interaction matrix with zeros int_mat = { DiscordActivity.Reply: np.zeros((acc_count, acc_count)), DiscordActivity.Mention: np.zeros((acc_count, acc_count)), DiscordActivity.Reaction: np.zeros((acc_count, acc_count)), DiscordActivity.Lone_msg: np.zeros((acc_count, acc_count)), DiscordActivity.Thread_msg: np.zeros((acc_count, acc_count)), } # Set interaction for thread message int_mat[DiscordActivity.Thread_msg][1, 1] = 2 # Initialize activity dictionary activity_dict = { "all_joined": {"0": set()}, "all_joined_day": {"0": set()}, # ... (other keys) } # Window index w_i = 0 # List of activities activities = [ DiscordActivity.Reaction, DiscordActivity.Mention, DiscordActivity.Reply, DiscordActivity.Lone_msg, DiscordActivity.Thread_msg, ] # Initialize engagement assessment engagement = EngagementAssessment( activities=activities, activities_ignore_0_axis=[ DiscordActivity.Mention, DiscordActivity.Reaction, DiscordActivity.Reply, ], activities_ignore_1_axis=[], ) # Compute engagement (_, *computed_activities) = engagement.compute( int_mat=int_mat, w_i=w_i, acc_names=acc_names, act_param=self.action_params, WINDOW_D=self.window_days, **activity_dict, ) # Convert computed activities to dictionary computed_activities = dict(zip(activity_dict.keys(), computed_activities)) # Assert expected outcomes assert computed_activities["all_joined"] == {"0": set()} assert computed_activities["all_consistent"] == {"0": set()} # ... (other assertions)
Review details
Configuration used: CodeRabbit UI
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Files selected for processing (55)
- requirements.txt (1 hunks)
- tc_analyzer_lib/algorithms/assessment/init.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_active.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_connected.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_consistent.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_dropped.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_lurker.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_overlap.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_remainder.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_still_active.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_vital.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/check_past.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/check_prev_period.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/engagement.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/utils/activity.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/utils/compute_interaction_per_acc.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/utils/generate_graph.py (1 hunks)
- tc_analyzer_lib/algorithms/utils/member_activity_utils.py (1 hunks)
- tests/integration/test_active_members.py (1 hunks)
- tests/integration/test_all_active_fourteen_period.py (1 hunks)
- tests/integration/test_assess_mention.py (1 hunks)
- tests/integration/test_assess_reactions.py (1 hunks)
- tests/integration/test_assess_replies.py (1 hunks)
- tests/integration/test_consistently_active.py (1 hunks)
- tests/integration/test_disengaged_members.py (1 hunks)
- tests/integration/test_disengaged_were_consistently_active.py (1 hunks)
- tests/integration/test_disengaged_were_newly_active.py (1 hunks)
- tests/integration/test_disengaged_were_vital.py (1 hunks)
- tests/integration/test_lone_actions_all_active.py (1 hunks)
- tests/integration/test_lone_thr_actions_active.py (1 hunks)
- tests/integration/test_mention_active_members_from_int_matrix.py (1 hunks)
- tests/integration/test_newly_active_continuous_period.py (1 hunks)
- tests/integration/test_newly_active_discontinued_period.py (1 hunks)
- tests/integration/test_non_consistently_active.py (1 hunks)
- tests/integration/test_partially_consistently_active.py (1 hunks)
- tests/integration/test_still_active.py (1 hunks)
- tests/integration/test_thr_actions_all_active.py (1 hunks)
- tests/integration/test_vital.py (1 hunks)
- tests/integration/utils/mock_graph.py (1 hunks)
- tests/unit/test_assess_active.py (1 hunks)
- tests/unit/test_assess_connected.py (1 hunks)
- tests/unit/test_assess_consistent.py (1 hunks)
- tests/unit/test_assess_dropped.py (1 hunks)
- tests/unit/test_assess_lurker.py (1 hunks)
- tests/unit/test_assess_overlap.py (1 hunks)
- tests/unit/test_assess_remainder_disengaged.py (1 hunks)
- tests/unit/test_assess_remainder_paused.py (1 hunks)
- tests/unit/test_assess_remainder_returned.py (1 hunks)
- tests/unit/test_assess_remainder_unpaused.py (1 hunks)
- tests/unit/test_assess_still_active.py (1 hunks)
- tests/unit/test_assess_vital.py (1 hunks)
- tests/unit/test_check_past.py (1 hunks)
- tests/unit/test_check_prev_period.py (1 hunks)
- tests/unit/test_enum_activity.py (1 hunks)
- tests/unit/test_graph_creation.py (1 hunks)
Files skipped from review due to trivial changes (10)
- requirements.txt
- tc_analyzer_lib/algorithms/assessment/init.py
- tc_analyzer_lib/algorithms/assessment/utils/activity.py
- tc_analyzer_lib/algorithms/assessment/utils/generate_graph.py
- tc_analyzer_lib/algorithms/utils/member_activity_utils.py
- tests/unit/test_assess_connected.py
- tests/unit/test_assess_dropped.py
- tests/unit/test_check_past.py
- tests/unit/test_enum_activity.py
- tests/unit/test_graph_creation.py
Additional context used
Ruff
tc_analyzer_lib/algorithms/assessment/check_prev_period.py
21-21: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
tests/unit/test_assess_overlap.py
19-19: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
tc_analyzer_lib/algorithms/assessment/assess_overlap.py
39-39: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
tc_analyzer_lib/algorithms/assessment/assess_remainder.py
77-77: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
129-129: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
tc_analyzer_lib/algorithms/assessment/engagement.py
253-253: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
Additional comments not posted (57)
tests/unit/test_assess_active.py (1)
1-17: LGTM!The test case for
assess_activeis well-defined and covers the basic functionality.tests/unit/test_check_prev_period.py (2)
1-13: LGTM!The test case for
check_prev_periodwith available data is well-defined and covers the expected functionality.
16-25: LGTM!The test case for
check_prev_periodwith no available data is well-defined and covers the expected functionality.tests/unit/test_assess_lurker.py (1)
1-27: LGTM!The test case for
assess_lurkeris well-defined and covers the basic functionality.tests/unit/test_assess_still_active.py (1)
1-36: LGTM! Consider adding more test cases.The test function
test_still_activelooks good and covers a basic scenario. Consider adding more test cases to cover edge cases and different scenarios.tc_analyzer_lib/algorithms/assessment/assess_connected.py (1)
1-39: LGTM! The function is well-documented and correct.The function
assess_connectedlooks good and is well-documented. The logic is correct and the performance is optimal.tests/unit/test_assess_remainder_paused.py (1)
1-44: LGTM! Consider adding more test cases.The test function
test_assess_pausedlooks good and covers a basic scenario. Consider adding more test cases to cover edge cases and different scenarios.tc_analyzer_lib/algorithms/assessment/assess_vital.py (1)
1-1: Ensure the helper functioncheck_pastis tested.The function relies on
check_past. Ensure thatcheck_pastis thoroughly tested to avoid potential issues.Verification successful
Verified: The
check_pastfunction is tested.The function
check_pastis indeed tested in the filetests/unit/test_check_past.py.
tests/unit/test_check_past.pyScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the function check_past is tested. # Test: Search for test cases for check_past. Expect: At least one test case. rg --type python $'check_past'Length of output: 60
Script:
#!/bin/bash # Description: Verify that the function check_past is tested. # Test: Search for test cases for check_past. Expect: At least one test case. rg --type py 'check_past'Length of output: 1953
tests/unit/test_assess_remainder_unpaused.py (1)
4-66: LGTM!The unit test function
test_assess_unpausedis well-structured and logically correct.tests/integration/utils/mock_graph.py (1)
5-6: LGTM! Imports are correctly updated.The imports have been correctly updated to use
EngagementAssessmentandDiscordActivityfromtc_analyzer_lib.tests/unit/test_assess_vital.py (2)
33-36: LGTM!The test function correctly tests the
assess_vitalfunction for different periods.
63-66: LGTM!The test function correctly tests the
assess_vitalfunction for different periods not starting from the first period.tests/integration/test_assess_replies.py (2)
9-25: LGTM!The
setUpmethod correctly initializes the necessary parameters for the test class.
27-100: LGTM!The test method correctly tests the
EngagementAssessmentclass for a single reply interaction.tests/integration/test_assess_mention.py (2)
9-25: LGTM!The
setUpmethod correctly initializes the necessary parameters for the test class.
27-100: LGTM!The test method correctly tests the
EngagementAssessmentclass for a single mention interaction.tests/integration/test_assess_reactions.py (2)
9-25: LGTM!The
setUpmethod correctly initializes the necessary parameters for the test class.
27-100: LGTM!The test method correctly tests the
EngagementAssessmentclass for a single reaction interaction.tests/unit/test_assess_remainder_disengaged.py (2)
4-52: LGTM! Verify the function parameters.The test setup and assertions appear correct.
However, ensure that all parameters passed to
assess_remainderare correctly defined and used.Verification successful
Verification successful. The function parameters are correctly defined and used in the test.
- The test setup and assertions match the parameters of the
assess_remainderfunction.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the function parameters for `assess_remainder`. # Test: Search for the function definition. Expect: Parameters match those used in the test. rg --type python $'def assess_remainder'Length of output: 72
Script:
#!/bin/bash # Description: Verify the function parameters for `assess_remainder`. # Test: Search for the function definition. Expect: Parameters match those used in the test. rg 'def assess_remainder' --glob '*.py'Length of output: 121
Script:
#!/bin/bash # Description: Extract the full function signature for `assess_remainder`. # Extract the function signature for `assess_remainder` from the specified file. rg 'def assess_remainder' -A 10 tc_analyzer_lib/algorithms/assessment/assess_remainder.pyLength of output: 448
Script:
#!/bin/bash # Description: Extract the full function signature for `assess_remainder`. # Extract more lines to capture the complete function signature for `assess_remainder`. rg 'def assess_remainder' -A 20 tc_analyzer_lib/algorithms/assessment/assess_remainder.pyLength of output: 687
54-101: LGTM! Verify the function parameters.The test setup and assertions appear correct.
However, ensure that all parameters passed to
assess_remainderare correctly defined and used.Verification successful
Function parameters are correctly defined and used.
The parameters in the test
test_assess_disengaged_with_past_disengagedmatch the parameters in the function definition ofassess_remainder.
tc_analyzer_lib/algorithms/assessment/assess_remainder.pyScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the function parameters for `assess_remainder`. # Test: Search for the function definition. Expect: Parameters match those used in the test. rg --type python $'def assess_remainder'Length of output: 72
Script:
#!/bin/bash # Description: Verify the function parameters for `assess_remainder`. # Test: Search for the function definition. Expect: Parameters match those used in the test. ast-grep --lang python --pattern $'def assess_remainder($_, $_, $_, $_, $_, $_, $_, $_, $_, $_, $_, $_, $_):'Length of output: 110
Script:
#!/bin/bash # Description: Verify the function parameters for `assess_remainder`. # Test: Search for the function definition using a more flexible pattern. ast-grep --lang python --pattern $'def assess_remainder($_):' # Test: Search for the function definition using rg. rg 'def assess_remainder'Length of output: 170
Script:
#!/bin/bash # Description: Extract the function definition and parameters for `assess_remainder`. # Extract the function definition and parameters. ast-grep --lang python --pattern $'def assess_remainder($_):' tc_analyzer_lib/algorithms/assessment/assess_remainder.pyLength of output: 120
Script:
#!/bin/bash # Description: Extract the content of the file containing `assess_remainder` function. # Extract the content of the file. rg 'def assess_remainder' -A 20 tc_analyzer_lib/algorithms/assessment/assess_remainder.pyLength of output: 687
tests/integration/test_still_active.py (1)
7-135: LGTM! Verify the interaction matrix setup.The test setup and assertions appear correct.
However, ensure that the interaction matrix setup and parameters passed to
computeare correctly defined and used.Verification successful
Interaction matrix setup and parameters passed to
computeare correctly defined and used.The test setup and assertions appear correct. The
computemethod's parameters match those used in the test function.
int_matw_iacc_namesact_paramWINDOW_D- Various activity dictionaries
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the interaction matrix setup for `EngagementAssessment`. # Test: Search for the `compute` method definition. Expect: Parameters match those used in the test. rg --type python $'def compute'Length of output: 63
Script:
#!/bin/bash # Description: Verify the interaction matrix setup for `EngagementAssessment`. # Test: Search for the `compute` method definition. rg 'def compute'Length of output: 2425
Script:
#!/bin/bash # Description: Extract the definition and parameters of the `compute` method in `tc_analyzer_lib/algorithms/assessment/engagement.py`. # Extract the `compute` method definition along with its parameters. rg -A 20 'def compute' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 510
tests/integration/test_vital.py (1)
7-133: LGTM! Verify the interaction matrix setup.The test setup and assertions appear correct.
However, ensure that the interaction matrix setup and parameters passed to
computeare correctly defined and used.Verification successful
Verification Successful: Interaction Matrix Setup
The interaction matrix setup and parameters passed to the
computemethod in theEngagementAssessmentclass are correctly defined and used in the test case.
tc_analyzer_lib/algorithms/assessment/engagement.py:computemethod implementationScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the interaction matrix setup for `EngagementAssessment`. # Test: Search for the `compute` method definition. Expect: Parameters match those used in the test. rg --type python $'def compute'Length of output: 63
Script:
#!/bin/bash # Description: Verify the interaction matrix setup for `EngagementAssessment`. # Test: Search for the `compute` method definition. rg 'def compute' # Test: Search for the `EngagementAssessment` class definition. rg 'class EngagementAssessment'Length of output: 2539
Script:
#!/bin/bash # Description: Extract the implementation of the `compute` method from `EngagementAssessment` class. # Extract the `compute` method implementation from the `EngagementAssessment` class. ast-grep --lang python --pattern $'class EngagementAssessment { $$$ def compute($_, $_, $_, $_, $_, $$$): $$$ $$$ }' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 692
Script:
#!/bin/bash # Description: Extract the implementation of the `compute` method from `EngagementAssessment` class. # Extract the `compute` method implementation from the `EngagementAssessment` class. ast-grep --lang python --pattern 'class EngagementAssessment { def compute($_, $_, $_, $_, $_, $$$): $$$ }' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 668
Script:
#!/bin/bash # Description: Extract the implementation of the `compute` method from `EngagementAssessment` class. # Extract the `compute` method implementation from the `EngagementAssessment` class. ast-grep --lang python --pattern 'def compute($_, $_, $_, $_, $_, $$$): $$$' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 23263
tests/integration/test_non_consistently_active.py (1)
6-136: LGTM! Verify the interaction matrix setup.The test setup and assertions appear correct.
However, ensure that the interaction matrix setup and parameters passed to
computeare correctly defined and used.Verification successful
Verification Successful: Interaction matrix setup and parameters are correctly defined and used.
The parameters passed to the
computemethod in the test functiontest_two_consistently_active_nonmatch the method's definition intc_analyzer_lib/algorithms/assessment/engagement.py. The test setup and assertions appear to be correctly implemented.
int_matw_iacc_namesact_paramWINDOW_Dall_joinedall_joined_dayall_consistentall_vitalall_activeall_connectedall_pausedall_new_disengagedall_disengagedall_unpausedall_returnedall_new_activeall_still_activeall_droppedall_disengaged_were_vitalall_disengaged_were_newly_activeall_disengaged_were_consistently_activeall_lurkerall_about_to_disengageall_disengaged_in_pastScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the interaction matrix setup for `EngagementAssessment`. # Test: Search for the `compute` method definition. Expect: Parameters match those used in the test. rg --type python $'def compute'Length of output: 63
Script:
#!/bin/bash # Description: Verify the interaction matrix setup for `EngagementAssessment`. # Test: Search for the `compute` method definition. Expect: Parameters match those used in the test. rg 'def compute'Length of output: 2425
Script:
#!/bin/bash # Description: Extract the `compute` method definition from `tc_analyzer_lib/algorithms/assessment/engagement.py`. # Extract the `compute` method definition and its parameters. rg --context 10 --max-count 1 'def compute' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 674
Script:
#!/bin/bash # Description: Extract the complete `compute` method definition from `tc_analyzer_lib/algorithms/assessment/engagement.py`. # Extract the `compute` method definition with more context to capture all parameters. rg --context 20 --max-count 1 'def compute' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 1295
Script:
#!/bin/bash # Description: Extract the complete `compute` method definition from `tc_analyzer_lib/algorithms/assessment/engagement.py`. # Extract the `compute` method definition with more context to capture all parameters. rg --context 30 --max-count 1 'def compute' tc_analyzer_lib/algorithms/assessment/engagement.pyLength of output: 1807
tests/integration/test_partially_consistently_active.py (2)
65-73: LGTM! Interaction matrix setup is correct.The interaction matrix is properly configured to simulate interactions between users.
103-136: Verify the logic of the assertions.Ensure that the expected values in the assertions correctly reflect the intended test scenario. The assertions seem to be correct, but a double-check is recommended.
tests/integration/test_consistently_active.py (2)
65-73: LGTM! Interaction matrix setup is correct.The interaction matrix is properly configured to simulate interactions between users.
103-134: Verify the logic of the assertions.Ensure that the expected values in the assertions correctly reflect the intended test scenario. The assertions seem to be correct, but a double-check is recommended.
tests/integration/test_newly_active_continuous_period.py (2)
65-73: LGTM! Interaction matrix setup is correct.The interaction matrix is properly configured to simulate interactions between users.
106-135: Verify the logic of the assertions.Ensure that the expected values in the assertions correctly reflect the intended test scenario. The assertions seem to be correct, but a double-check is recommended.
Verification successful
Verify the logic of the assertions.
The assertions in
test_newly_active_continuous_period.pyappear to correctly reflect the intended test scenario. The expected values match the continuous activity pattern described in the test.
tests/integration/test_newly_active_continuous_period.py, lines 106-135Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the logic of the assertions in `test_newly_active_continuous_period`. # Test: Ensure the expected values match the intended test scenario. rg --type python $'assert activity_dict["all_new_active"]'Length of output: 90
Script:
#!/bin/bash # Description: Verify the logic of the assertions in `test_newly_active_continuous_period.py`. # Test: Ensure the expected values match the intended test scenario. ast-grep --lang python --pattern $'assert activity_dict["all_new_active"] == $_'Length of output: 5458
tests/integration/test_disengaged_were_newly_active.py (2)
63-71: LGTM! Interaction matrix setup is correct.The interaction matrix is properly configured to simulate interactions between users.
108-137: Verify the logic of the assertions.Ensure that the expected values in the assertions correctly reflect the intended test scenario. The assertions seem to be correct, but a double-check is recommended.
Verification successful
Verify the logic of the assertions.
The logic of the assertions in
test_disengaged_newly_activeis correctly implemented. The expected values in the assertions reflect the intended test scenario, whereuser0anduser1are newly active and then disengaged.
tests/integration/test_disengaged_were_newly_active.py: Lines 108-137Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the logic of the assertions in `test_disengaged_newly_active`. # Test: Ensure the expected values match the intended test scenario. rg --type python $'assert activity_dict["all_disengaged_were_newly_active"]'Length of output: 108
Script:
#!/bin/bash # Description: Locate the `test_disengaged_newly_active` function and extract the assertions. # Find the file containing the `test_disengaged_newly_active` function definition. rg 'def test_disengaged_newly_active' --glob '*.py' # Extract the lines containing the assertions within the `test_disengaged_newly_active` function. rg 'assert activity_dict\["all_disengaged_were_newly_active"\]' --glob '*.py'Length of output: 345
Script:
#!/bin/bash # Description: Extract the complete `test_disengaged_newly_active` function definition. # Extract the complete function definition for `test_disengaged_newly_active`. rg -A 50 'def test_disengaged_newly_active' tests/integration/test_disengaged_were_newly_active.pyLength of output: 1402
Script:
#!/bin/bash # Description: Extract the complete `test_disengaged_newly_active` function definition with more lines. # Extract the complete function definition for `test_disengaged_newly_active`. rg -A 100 'def test_disengaged_newly_active' tests/integration/test_disengaged_were_newly_active.pyLength of output: 2899
tests/integration/test_all_active_fourteen_period.py (1)
120-135: Ensure the test assertion covers all possible cases.The test assertion seems comprehensive. Ensure that it covers all possible cases for the
all_activecategory.Verification successful
The test assertion covers all possible cases for the
all_activecategory.The provided test assertion includes all indices from 0 to 13 with appropriate user sets or empty sets, ensuring comprehensive coverage for the
all_activecategory.
- File:
tests/integration/test_all_active_fourteen_period.py- Lines: 120-135
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the test assertion covers all possible cases for the `all_active` category. # Test: Check if any cases are missing in the test assertion. rg 'assert activity_dict\["all_active"\] == \{' -A 20 tests/integration/test_all_active_fourteen_period.pyLength of output: 468
Script:
#!/bin/bash # Description: Find the definition and population logic of `activity_dict["all_active"]` to understand its possible values. # Search for the definition of `activity_dict` rg 'activity_dict' -A 10 # Search for the population logic of `activity_dict["all_active"]` rg 'activity_dict\["all_active"\]' -A 10Length of output: 107276
tests/integration/test_newly_active_discontinued_period.py (1)
107-136: Ensure the test assertion covers all possible cases.The test assertion seems comprehensive. Ensure that it covers all possible cases for the
all_new_activecategory.Verification successful
The test assertion covers all possible cases for the
all_new_activecategory.The test assertion comprehensively includes all keys from "0" to "27", ensuring that no cases are missing for the
all_new_activecategory.
tests/integration/test_newly_active_discontinued_period.pylines 107-136Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the test assertion covers all possible cases for the `all_new_active` category. # Test: Check if any cases are missing in the test assertion. rg 'assert activity_dict\["all_new_active"\] == \{' -A 20 tests/integration/test_newly_active_discontinued_period.pyLength of output: 745
Script:
#!/bin/bash # Description: Verify that the test assertion covers all possible cases for the `all_new_active` category. # Test: Check the complete test assertion block for the `all_new_active` category. rg 'assert activity_dict\["all_new_active"\] == \{' -A 30 tests/integration/test_newly_active_discontinued_period.pyLength of output: 932
tests/integration/test_mention_active_members_from_int_matrix.py (1)
110-139: Ensure the test assertion covers all possible cases.The test assertion seems comprehensive. Ensure that it covers all possible cases for the
all_activecategory.tests/integration/test_disengaged_were_consistently_active.py (1)
107-150: Ensure the test assertion covers all possible cases.The test assertion seems comprehensive. Ensure that it covers all possible cases for the
all_disengaged_were_consistently_activecategory.Verification successful
Verification Successful: The test assertion covers all possible cases for the
all_disengaged_were_consistently_activecategory.
- The assertion includes keys from "0" to "41".
- Keys "36" to "41" have the set {"user0", "user1"}.
- All other keys have empty sets.
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the test assertion covers all possible cases for the `all_disengaged_were_consistently_active` category. # Test: Check if any cases are missing in the test assertion. rg 'assert activity_dict\["all_disengaged_were_consistently_active"\] == \{' -A 20 tests/integration/test_disengaged_were_consistently_active.pyLength of output: 629
Script:
#!/bin/bash # Description: Verify that the test assertion covers all possible cases for the `all_disengaged_were_consistently_active` category. # Test: Check if any cases are missing in the test assertion by extending the range of lines retrieved. rg 'assert activity_dict\["all_disengaged_were_consistently_active"\] == \{' -A 50 tests/integration/test_disengaged_were_consistently_active.pyLength of output: 1175
tests/integration/test_disengaged_members.py (5)
1-3: LGTM! Imports are correct.The imports are necessary and correct for the test.
6-20: LGTM! Setup is appropriate.The initial setup of the test function correctly initializes account names and parameters.
22-60: LGTM! Activity dictionary and parameter setup are comprehensive.The setup of the activity dictionary and parameters is comprehensive and well-structured.
62-79: LGTM! Interaction matrix and engagement assessment setup are correct.The initialization of the interaction matrix and the setup of the engagement assessment are correct and necessary for the test.
81-157: LGTM! Analytics loop and assertions are logical.The loop and assertions correctly validate the disengaged members over multiple time windows.
tests/integration/test_disengaged_were_vital.py (5)
1-3: LGTM! Imports are correct.The imports are necessary and correct for the test.
6-29: LGTM! Setup is appropriate.The initial setup of the test function correctly initializes account names and parameters.
39-60: LGTM! Activity dictionary and parameter setup are comprehensive.The setup of the activity dictionary and parameters is comprehensive and well-structured.
63-85: LGTM! Interaction matrix and engagement assessment setup are correct.The initialization of the interaction matrix and the setup of the engagement assessment are correct and necessary for the test.
87-161: LGTM! Analytics loop and assertions are logical.The loop and assertions correctly validate the disengaged members over multiple time windows.
tests/integration/test_lone_thr_actions_active.py (5)
1-5: LGTM! Imports are correct.The imports are necessary and correct for the test.
9-25: LGTM! Setup method is appropriate.The setup method correctly initializes parameters for the test.
27-41: LGTM! Initial setup of the test method is appropriate.The test method correctly initializes account names and sets up the interaction matrix.
50-91: LGTM! Activity dictionary and engagement assessment setup are comprehensive.The setup of the activity dictionary and the initialization of the engagement assessment are comprehensive and well-structured.
93-128: LGTM! Engagement computation and assertions are logical.The engagement computation and assertions correctly validate the engagement scenarios.
tc_analyzer_lib/algorithms/assessment/utils/compute_interaction_per_acc.py (3)
10-118: LGTM! Functionthr_intis well-structured.The function correctly computes the number of interactions and connections per account.
121-135: LGTM! Functionremove_edges_below_thresholdis well-structured.The function correctly removes edges from a graph that have a weight below a specified threshold.
138-186: LGTM! Functionget_analysis_vectoris well-structured.The function correctly computes an analysis vector based on given matrices.
tc_analyzer_lib/algorithms/assessment/engagement.py (2)
22-48: LGTM!The
__init__method is well-formed with clear documentation.
50-315: LGTM!The
computemethod is well-formed with clear documentation.Tools
Ruff
253-253: Use
key in dictinstead ofkey in dict.keys()Remove
.keys()(SIM118)
tests/integration/test_thr_actions_all_active.py (2)
1-5: Imports look good.The import statements are correct and necessary for the functionality of the test cases.
8-25: Initialization looks good.The
setUpmethod correctly initializes the necessary parameters for the test cases.
| activity_dict = { | ||
| "all_joined": {}, | ||
| "all_joined_day": all_joined_day, | ||
| "all_consistent": {}, | ||
| "all_vital": {}, | ||
| "all_active": {}, | ||
| "all_connected": {}, | ||
| "all_paused": {}, | ||
| "all_new_disengaged": {}, | ||
| "all_disengaged": {}, | ||
| "all_unpaused": {}, | ||
| "all_returned": {}, | ||
| "all_new_active": {}, | ||
| "all_still_active": {}, | ||
| "all_dropped": {}, | ||
| "all_disengaged_were_newly_active": {}, | ||
| "all_disengaged_were_consistently_active": {}, | ||
| "all_disengaged_were_vital": {}, | ||
| "all_lurker": {}, | ||
| "all_about_to_disengage": {}, | ||
| "all_disengaged_in_past": {}, | ||
| } |
There was a problem hiding this comment.
Consider initializing activity_dict with a helper function.
To improve readability and maintainability, consider extracting the initialization of activity_dict into a helper function.
def initialize_activity_dict(all_joined_day):
return {
"all_joined": {},
"all_joined_day": all_joined_day,
"all_consistent": {},
"all_vital": {},
"all_active": {},
"all_connected": {},
"all_paused": {},
"all_new_disengaged": {},
"all_disengaged": {},
"all_unpaused": {},
"all_returned": {},
"all_new_active": {},
"all_still_active": {},
"all_dropped": {},
"all_disengaged_were_newly_active": {},
"all_disengaged_were_consistently_active": {},
"all_disengaged_were_vital": {},
"all_lurker": {},
"all_about_to_disengage": {},
"all_disengaged_in_past": {},
}
# Usage
activity_dict = initialize_activity_dict(all_joined_day)| # two weeks represantative of 14 days | ||
| for day_i in range(14): | ||
| if day_i == 1: | ||
| int_mat[DiscordActivity.Reaction][0, 1] = 0 | ||
| int_mat[DiscordActivity.Reaction][1, 0] = 0 | ||
|
|
||
| if day_i == 3: | ||
| int_mat[DiscordActivity.Reaction][2, 3] = 2 | ||
| int_mat[DiscordActivity.Reaction][3, 2] = 4 | ||
|
|
||
| if day_i == 4: | ||
| int_mat[DiscordActivity.Reaction][2, 3] = 0 | ||
| int_mat[DiscordActivity.Reaction][3, 2] = 0 | ||
|
|
There was a problem hiding this comment.
Consider using a switch-case structure for updating int_mat within the loop.
To improve readability and maintainability, consider using a switch-case structure (or equivalent) for updating int_mat within the loop.
for day_i in range(14):
match day_i:
case 1:
int_mat[DiscordActivity.Reaction][0, 1] = 0
int_mat[DiscordActivity.Reaction][1, 0] = 0
case 3:
int_mat[DiscordActivity.Reaction][2, 3] = 2
int_mat[DiscordActivity.Reaction][3, 2] = 4
case 4:
int_mat[DiscordActivity.Reaction][2, 3] = 0
int_mat[DiscordActivity.Reaction][3, 2] = 0| activity_dict = { | ||
| "all_joined": {}, | ||
| "all_joined_day": all_joined, | ||
| "all_consistent": {}, | ||
| "all_vital": {}, | ||
| "all_active": {}, | ||
| "all_connected": {}, | ||
| "all_paused": {}, | ||
| "all_new_disengaged": {}, | ||
| "all_disengaged": {}, | ||
| "all_unpaused": {}, | ||
| "all_returned": {}, | ||
| "all_new_active": {}, | ||
| "all_still_active": {}, | ||
| "all_dropped": {}, | ||
| "all_disengaged_were_newly_active": {}, | ||
| "all_disengaged_were_consistently_active": {}, | ||
| "all_disengaged_were_vital": {}, | ||
| "all_lurker": {}, | ||
| "all_about_to_disengage": {}, | ||
| "all_disengaged_in_past": {}, | ||
| } |
There was a problem hiding this comment.
Consider initializing activity_dict with a helper function.
To improve readability and maintainability, consider extracting the initialization of activity_dict into a helper function.
def initialize_activity_dict(all_joined_day):
return {
"all_joined": {},
"all_joined_day": all_joined_day,
"all_consistent": {},
"all_vital": {},
"all_active": {},
"all_connected": {},
"all_paused": {},
"all_new_disengaged": {},
"all_disengaged": {},
"all_unpaused": {},
"all_returned": {},
"all_new_active": {},
"all_still_active": {},
"all_dropped": {},
"all_disengaged_were_newly_active": {},
"all_disengaged_were_consistently_active": {},
"all_disengaged_were_vital": {},
"all_lurker": {},
"all_about_to_disengage": {},
"all_disengaged_in_past": {},
}
# Usage
activity_dict = initialize_activity_dict(all_joined_day)| # preparing empty joined members dict | ||
| all_joined = dict( | ||
| zip(np.array(range(max_interval), dtype=str), np.repeat(set(), max_interval)) | ||
| ) | ||
|
|
||
| activity_dict = { | ||
| "all_joined": {}, | ||
| "all_joined_day": all_joined, | ||
| "all_consistent": {}, | ||
| "all_vital": {}, | ||
| "all_active": {}, | ||
| "all_connected": {}, | ||
| "all_paused": {}, | ||
| "all_new_disengaged": {}, | ||
| "all_disengaged": {}, | ||
| "all_unpaused": {}, | ||
| "all_returned": {}, | ||
| "all_new_active": {}, | ||
| "all_still_active": {}, | ||
| "all_dropped": {}, | ||
| "all_disengaged_were_newly_active": {}, | ||
| "all_disengaged_were_consistently_active": {}, | ||
| "all_disengaged_were_vital": {}, | ||
| "all_lurker": {}, | ||
| "all_about_to_disengage": {}, | ||
| "all_disengaged_in_past": {}, | ||
| } |
There was a problem hiding this comment.
Consider initializing activity_dict with a helper function.
To improve readability and maintainability, consider extracting the initialization of activity_dict into a helper function.
def initialize_activity_dict(all_joined_day):
return {
"all_joined": {},
"all_joined_day": all_joined_day,
"all_consistent": {},
"all_vital": {},
"all_active": {},
"all_connected": {},
"all_paused": {},
"all_new_disengaged": {},
"all_disengaged": {},
"all_unpaused": {},
"all_returned": {},
"all_new_active": {},
"all_still_active": {},
"all_dropped": {},
"all_disengaged_were_newly_active": {},
"all_disengaged_were_consistently_active": {},
"all_disengaged_were_vital": {},
"all_lurker": {},
"all_about_to_disengage": {},
"all_disengaged_in_past": {},
}
# Usage
activity_dict = initialize_activity_dict(all_joined_day)| all_joined = dict( | ||
| zip(np.array(range(max_interval), dtype=str), np.repeat(set(), max_interval)) | ||
| ) | ||
|
|
||
| activity_dict = { | ||
| "all_joined": {}, | ||
| "all_joined_day": all_joined, | ||
| "all_consistent": {}, | ||
| "all_vital": {}, | ||
| "all_active": {}, | ||
| "all_connected": {}, | ||
| "all_paused": {}, | ||
| "all_new_disengaged": {}, | ||
| "all_disengaged": {}, | ||
| "all_unpaused": {}, | ||
| "all_returned": {}, | ||
| "all_new_active": {}, | ||
| "all_still_active": {}, | ||
| "all_dropped": {}, | ||
| "all_disengaged_were_newly_active": {}, | ||
| "all_disengaged_were_consistently_active": {}, | ||
| "all_disengaged_were_vital": {}, | ||
| "all_lurker": {}, | ||
| "all_about_to_disengage": {}, | ||
| "all_disengaged_in_past": {}, | ||
| } |
There was a problem hiding this comment.
Consider initializing activity_dict with a helper function.
To improve readability and maintainability, consider extracting the initialization of activity_dict into a helper function.
def initialize_activity_dict(all_joined_day):
return {
"all_joined": {},
"all_joined_day": all_joined_day,
"all_consistent": {},
"all_vital": {},
"all_active": {},
"all_connected": {},
"all_paused": {},
"all_new_disengaged": {},
"all_disengaged": {},
"all_unpaused": {},
"all_returned": {},
"all_new_active": {},
"all_still_active": {},
"all_dropped": {},
"all_disengaged_were_newly_active": {},
"all_disengaged_were_consistently_active": {},
"all_disengaged_were_vital": {},
"all_lurker": {},
"all_about_to_disengage": {},
"all_disengaged_in_past": {},
}
# Usage
activity_dict = initialize_activity_dict(all_joined_day)
There was a problem hiding this comment.
Actionable comments posted: 0
Review details
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Review profile: CHILL
Files selected for processing (3)
- tc_analyzer_lib/algorithms/utils/member_activity_utils.py (1 hunks)
- tests/unit/test_enum_activity.py (1 hunks)
- tests/unit/test_graph_creation.py (1 hunks)
Files skipped from review as they are similar to previous changes (3)
- tc_analyzer_lib/algorithms/utils/member_activity_utils.py
- tests/unit/test_enum_activity.py
- tests/unit/test_graph_creation.py
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Actionable comments posted: 3
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (12)
- setup.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_consistent.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_dropped.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_lurker.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_overlap.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_remainder.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_still_active.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/assess_vital.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/check_prev_period.py (1 hunks)
- tc_analyzer_lib/algorithms/assessment/engagement.py (1 hunks)
- tc_analyzer_lib/algorithms/utils/member_activity_history_utils.py (1 hunks)
- tests/unit/test_assess_overlap.py (1 hunks)
Files skipped from review due to trivial changes (2)
- setup.py
- tc_analyzer_lib/algorithms/utils/member_activity_history_utils.py
Files skipped from review as they are similar to previous changes (7)
- tc_analyzer_lib/algorithms/assessment/assess_consistent.py
- tc_analyzer_lib/algorithms/assessment/assess_dropped.py
- tc_analyzer_lib/algorithms/assessment/assess_lurker.py
- tc_analyzer_lib/algorithms/assessment/assess_overlap.py
- tc_analyzer_lib/algorithms/assessment/assess_still_active.py
- tc_analyzer_lib/algorithms/assessment/assess_vital.py
- tests/unit/test_assess_overlap.py
Additional context used
Ruff
tc_analyzer_lib/algorithms/assessment/check_prev_period.py
21-24: Use ternary operator
temp_set = set(engagement_dict[time_str]) if time_str in engagement_dict else set()instead ofif-else-blockReplace
if-else-block withtemp_set = set(engagement_dict[time_str]) if time_str in engagement_dict else set()(SIM108)
Additional comments not posted (1)
tc_analyzer_lib/algorithms/assessment/engagement.py (1)
22-49: LGTM!The
__init__method is straightforward and initializes the class correctly.
| if time_str in engagement_dict: | ||
| temp_set = set(engagement_dict[time_str]) | ||
| else: | ||
| temp_set = set() |
There was a problem hiding this comment.
Use a ternary operator for better readability.
The if-else block can be replaced with a ternary operator to make the code more concise and readable.
- if time_str in engagement_dict:
- temp_set = set(engagement_dict[time_str])
- else:
- temp_set = set()
+ temp_set = set(engagement_dict[time_str]) if time_str in engagement_dict else set()Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if time_str in engagement_dict: | |
| temp_set = set(engagement_dict[time_str]) | |
| else: | |
| temp_set = set() | |
| temp_set = set(engagement_dict[time_str]) if time_str in engagement_dict else set() |
Tools
Ruff
21-24: Use ternary operator
temp_set = set(engagement_dict[time_str]) if time_str in engagement_dict else set()instead ofif-else-blockReplace
if-else-block withtemp_set = set(engagement_dict[time_str]) if time_str in engagement_dict else set()(SIM108)
| """ | ||
|
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||
| # if data from previous period is available | ||
| if (w_i - WINDOW_D >= 0) and (str(w_i - WINDOW_D) in all_active): |
There was a problem hiding this comment.
Optimize dictionary key checks.
The key in dict.keys() can be simplified to key in dict for better readability and performance.
- if (w_i - WINDOW_D >= 0) and (str(w_i - WINDOW_D) in all_active.keys()):
+ if (w_i - WINDOW_D >= 0) and (str(w_i - WINDOW_D) in all_active):
- if str(w_i - WINDOW_D) in all_disengaged.keys():
+ if str(w_i - WINDOW_D) in all_disengaged:Also applies to: 129-129
| rem_new_disengaged = {} | ||
|
|
||
| # if there is any disengagement data | ||
| if str(w_i) in all_new_disengaged: |
There was a problem hiding this comment.
Optimize dictionary key checks.
The key in dict.keys() can be simplified to key in dict for better readability and performance.
- if str(w_i) in all_new_disengaged.keys():
+ if str(w_i) in all_new_disengaged:Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| if str(w_i) in all_new_disengaged: | |
| if str(w_i) in all_new_disengaged: |
Summary by CodeRabbit
New Features
EngagementAssessmentclass for assessing engagement levels of active members.Dependencies
tc-neo4j-lib==2.0.1.Bug Fixes
convert_back_to_old_schemafunction to use an empty set instead of an empty string.